Channel estimation and interference suppression for uplink CDMA mobile communication systems

Wireless communications for mobile telephone and data transmission is currently undergoing very rapid development. Code division multiple-access (CDMA) implemented with direct sequence spread spectrum signaling is among the most promising multiplexing technologies for cellular telecommunications services. In this paper, jointly period inserted pilot symbols assisted recursive (PIPSAR) channel estimation and interference suppression techniques are proposed for uplink CDMA mobile communication systems. The uplink CDMA mobile communication system model is described in the form of space-time domain through antenna array and multipath expression. Interference suppression is achieved by using adaptive minimum mean squared error (MMSE) digital filters that span several successive received chip oversampling vectors of a symbol interval. PIPSAR techniques are used to estimate channel parameters. The correlation between the successive periods is considered to further improve the performance of the proposed scheme. Analysis and simulations are used to evaluate the performance of the proposed scheme. Copyright © 2004 John Wiley & Sons, Ltd.

[1]  Fumiyuki Adachi,et al.  Wideband DS-CDMA for next-generation mobile communications systems , 1998, IEEE Commun. Mag..

[2]  Behnaam Aazhang,et al.  Subspace-based channel estimation for code division multiple access communication systems , 1996, IEEE Trans. Commun..

[3]  Sumit Roy,et al.  A new blind time-domain channel identification method based on cyclostationarity , 1994, IEEE Signal Processing Letters.

[4]  Ramjee Prasad,et al.  Wideband CDMA for third generation mobile communications , 1998 .

[5]  Soo-Chang Pei,et al.  Fractionally spaced blind equalization using polyperiodic linear filtering , 1998, IEEE Trans. Commun..

[6]  Erik Dahlman,et al.  UMTS/IMT-2000 based on wideband CDMA , 1998, IEEE Commun. Mag..

[7]  Rahim Tafazolli,et al.  Quality of service for multimedia CDMA , 2000 .

[8]  Fumiyuki Adachi,et al.  Adaptive Channel Estimation for Coherent DS-CDMA Mobile Radio Using Time-Multiplexed Pilot and Parallel Pilot Structures , 1999 .

[9]  Murat Torlak,et al.  Blind multiuser channel estimation in asynchronous CDMA systems , 1997, IEEE Trans. Signal Process..

[10]  Akbar M. Sayeed,et al.  Joint multipath-Doppler diversity in mobile wireless communications , 1999, IEEE Trans. Commun..

[11]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[12]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Lang Tong,et al.  Blind identification and equalization based on second-order statistics: a time domain approach , 1994, IEEE Trans. Inf. Theory.

[14]  Ramjee Prasad,et al.  An overview of air interface multiple access for IMT-2000/UMTS , 1998, IEEE Commun. Mag..

[15]  L. B. Milstein,et al.  Spread spectrum access methods for wireless communications , 1995, IEEE Commun. Mag..

[16]  Che-Ho Wei,et al.  Pilot-symbol assisted channel estimation for coherent DS-CDMA communications , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).